Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm

doi:10.16183/j.cnki.jsjtu.2021.448

Abstract

Abstract:

The research on large-scale offshore vertical axis wind turbine is of great significance to the development of ocean wind energy. For the safety of wind power, it is very important to study the reasonable supporting structure of the large-scale wind turbine. In this paper, an supporting structure optimization of a large-scale vertical axis wind turbine based on the variable deletion rate bidirectional evolutionary structural optimization (BESO) algorithm is proposed, and the reliability of structural optimization is verified by analyzing the dynamic response. The results show that this inverse proportional BESO algorithm can effectively improve the optimization iteration rate, and has a wide applicability to the optimal design of vertical axis wind turbine supporting structure. Compared with the initial structure, the wind-induced dynamic response of the topological new structure model under wind load is significantly reduced. The findings can be used to optimize the structural design of vertical axis wind turbine.

Key words: vertical axis wind turbine, bidirectional evolutionary structural optimization (BESO) algorithm, dynamic response, vibration reduction

CLC Number:

TU312.1

HE Wenjun, SU Jie, ZHOU Dai, HAN Zhaolong, BAO Yan, ZHAO Yongsheng, XU Yuwang, TU Jiahuang. Supporting Structure Optimization of Offshore Large-Scale Vertical Axis Wind Turbine Based On BESO Algorithm[J]. Journal of Shanghai Jiao Tong University, 2023, 57(2): 127-137.

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函数模型	迭代步数	计算效率提高/%	优化后结构平均柔顺度/(N·m)	平均柔顺度变化/%
反比例型	29	44.2	45.12	34.79
固定删除率	52	-	69.19	-

模型	坐标轴	最大位移/m	最大速度/ (m·s^-1)	最大加速度/ (m·s^-2)	位移优化率/%
初始模型	x	1.23	4.86	38.67
	y	1.17	3.7	26.12
	z	0.54	—	—
优化模型	x	0.60	0.4	1.06	51.22
	y	0.53	1.03	3.06	54.70
	z	0.21	—	—	61.11